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Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00263674 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 6754 $e08eMF6754 20231002 996 $aTemporal-Pattern Learning in Neural Models$93559042 997 $aUNICAMPANIA LEADER 03467nam 22007455 450 001 9910960158903321 005 20230120112605.0 010 $a9783031020322 010 $a3031020324 024 7 $a10.1007/978-3-031-02032-2 035 $a(CKB)5580000000323926 035 $a(DE-He213)978-3-031-02032-2 035 $a(MiAaPQ)EBC4764785 035 $a(Perlego)3706515 035 $a(EXLCZ)995580000000323926 100 $a20220601d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNon-Volatile In-Memory Computing by Spintronics /$fby Hao Yu, Leibin Ni, Yuhao Wang 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 147 p.) 225 1 $aSynthesis Lectures on Emerging Engineering Technologies,$x2381-1439 311 08$a9783031009044 311 08$a3031009045 327 $aPreface -- Acknowledgments -- Introduction -- Non-volatile Spintronic Device and Circuit -- In-memory Data Encryption -- In-memory Data Analytics -- Authors' Biographies . 330 $aExa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book. 410 0$aSynthesis Lectures on Emerging Engineering Technologies,$x2381-1439 606 $aEngineering 606 $aElectrical engineering 606 $aElectronic circuits 606 $aComputers 606 $aMaterials science 606 $aSurfaces (Technology) 606 $aThin films 606 $aTechnology and Engineering 606 $aElectrical and Electronic Engineering 606 $aElectronic Circuits and Systems 606 $aComputer Hardware 606 $aMaterials Science 606 $aSurfaces, Interfaces and Thin Film 615 0$aEngineering. 615 0$aElectrical engineering. 615 0$aElectronic circuits. 615 0$aComputers. 615 0$aMaterials science. 615 0$aSurfaces (Technology) 615 0$aThin films. 615 14$aTechnology and Engineering. 615 24$aElectrical and Electronic Engineering. 615 24$aElectronic Circuits and Systems. 615 24$aComputer Hardware. 615 24$aMaterials Science. 615 24$aSurfaces, Interfaces and Thin Film. 676 $a620 700 $aYu$b Hao$4aut$4http://id.loc.gov/vocabulary/relators/aut$0999569 702 $aNi$b Leibin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Yuhao$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910960158903321 996 $aNon-volatile in-memory computing by spintronics$92965167 997 $aUNINA